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A few quantitative thoughts on parking in Marburg

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Video duration
00:27:37
Language
English
Abstract
scraped publicly available parking deck data in Marburg for around 7 months, analysed it to find the parking patterns in Marburg and predicted the parking demand at locations without parking decks.tdi

What is your car's favourite spare time hobby? It parks around. In this project, I investigated the parking behaviour for the case of Marburg (a city 1h from Frankfurt known for its university). The analyses comprise of a time series analysis, day-time usage of parking spots and the computation of periodicities in the parking signal with autocorrelations. Lastly, I used a Gaussian Process to predict the parking demand at locations that do not feature a parking deck - such as the university Mensa.

Talk ID
rc3-hacc-82
Event:
rc3-hacc
Day
3
Room
hacc München / about:future
Start
6:15 p.m.
Duration
00:40:00
Track
Muc - about_future
Type of
Talk 30 min + 10min Q&A
Speaker
MartinL
Talk Slug & media link
rc3-channels-2020-82-a-few-quantitative-thoughts-on-parking-in-marburg

Talk & Speaker speed statistics

Very rough underestimation:
140.6 wpm
780.2 spm
142.4 wpm
799.2 spm
100.0% Checking done100.0%
0.0% Syncing done0.0%
0.0% Transcribing done0.0%
0.0% Nothing done yet0.0%
  

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Talk & Speaker speed statistics with word clouds

Whole talk:
140.6 wpm
780.2 spm
parkingdatatimedecksdemandspotsinstanceummarburgcoronadecknumbermaximumperiodicitydaytalkquestiondayssmallsignaltimesinterestedinterestingbitfindgreenerlenring-centercorrespondshourmodelpubliclyclosetowncitycolorcoursepictureuncertaintyblackmartinquestionsparkpointessentiallygooglescraperredpredictionmachinelearning
MartinL:
142.4 wpm
799.2 spm
parkingdatademanddecksspotstimeinstancecoronamarburgdecknumbermaximumperiodicitysmallumsignaltimesbiterlenring-centercorrespondshourmodeldaysclosetowncitygreencoursepicturedayinterestinguncertaintyblackparkpointcolorgooglescraperredmachinelearningquestionpubliclyessentiallyfreepresentationanalysisorderopentypically